shams-sam / FedOptimLinks
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?
☆14Updated 3 years ago
Alternatives and similar repositories for FedOptim
Users that are interested in FedOptim are comparing it to the libraries listed below
Sorting:
- ☆16Updated last year
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆22Updated 2 years ago
- Official implementation for paper "No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation", I…☆17Updated 2 years ago
- Federated Bilevel Optimization☆16Updated 3 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated 2 years ago
- ☆40Updated last year
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 4 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆37Updated 2 years ago
- Federated Dynamic Sparse Training☆31Updated 3 years ago
- ☆22Updated 4 years ago
- Github Repo for ICML 2022 paper: Communication-Efficient Adaptive Federated Learning☆10Updated 2 years ago
- This repository is the official implementation of 'EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Lea…☆14Updated 3 years ago
- ☆10Updated 3 years ago
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆31Updated 2 years ago
- Official Repository for MocoSFL (accepted by ICLR '23, notable 5%)☆52Updated 2 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆48Updated 2 years ago
- SPATL: Salient Prameter Aggregation and Transfer Learning for Heterogeneous Federated Learning☆23Updated 2 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆36Updated last year
- Code for "Federated Accelerated Stochastic Gradient Descent" (NeurIPS 2020)☆15Updated 4 years ago
- ☆28Updated last year
- Benchmarking Semi-supervised Federated Learning☆53Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆18Updated 5 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- Personalized Federated Learning under Mixture of Distributions☆18Updated last year
- Federated Learning with Partial Model Personalization☆43Updated 3 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆53Updated 2 years ago
- Repository that contains the code for the paper titled, 'Unifying Distillation with Personalization in Federated Learning'.☆12Updated 4 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Updated 4 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆38Updated 3 years ago